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Transcriptome changes in C57BL/6 mice after ischemia/reperfusion injury

GSE308759 Mus musculus (mouse) RNA-seq (gene expression) 10 samples Submitted 2026/02/13 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 10 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Mus musculus (mouse)
Samples
10 samples: 5 × C vs 5 × TGroups are read from the sample names, not from the paper. Check the list below.
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Paper
ATF6 ameliorates renal warm ischemia-reperfusion injury through FHL2-mediated NF-κB signaling pathwayiScience · 2026
Summary (written by the submitters)
Renal warm ischemia-reperfusion (I/R) injury drives acute kidney injury and transplant dys-function through endoplasmic reticulum (ER) stress. Although Activating Transcription Factor 6 (ATF6) modulates ER stress resolution via the unfolded protein response, its functional role in re-nal IRI remains undefined. Using murine model of warm renal I/R and hypoxia-reoxygenation (H/R)-treated HUVECs/HK-2 cells, we systematically investigated the expression of ATF6 and molecular mechanisms through RNA-seq, ChIP, and dual-luciferase assays.
Read the full summary ↓
IRI significantly up-regulated the expression of ATF6 in renal tissues, especially in proximal tubule epithelial cells. Functionally, ATF6 activation reduced Cr, BUN, and inflammatory cytokines, whereas genet-ic/pharmacological suppression aggravated renal tubular damage. Mechanistic studies revealed ATF6 transcriptionally represses FHL2 by direct promoter binding. The interaction between FHL2 and TRAF6 promoted the TRAF6/NF-κB signaling pathway, and the phosphorylation levels of p65 and IκBα were increased. ATF6 overexpression effectively counteracted FHL2-mediated NF-κB hyperactivation, establishing a protective axis where ATF6 mitigates inflammation via FHL2 sup-pression. This study identifies ATF6 as a renoprotective factor that suppresses FHL2 to inhibit TRAF6/NF-κB inflammation during IRI. The ATF6/FHL2/NF-κB axis provides mechanistic in-sights and therapeutic targets for ischemic renal injury and transplant complications.
Published in
ATF6 ameliorates renal warm ischemia-reperfusion injury through FHL2-mediated NF-κB signaling pathway
Wu X, Shi JH, Bai Y et al. · iScience 2026 · PMID 41907403 · doi:10.1016/j.isci.2026.115173
This dataset
Open GSE308759 in finder → Find more mouse RNA-seq datasets →
Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

Series matrix ↓
2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE308759_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

Raw reads on ENA ↗

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1332679 and SRA study SRP625134. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41907403) ↗
Study design
5 × C vs 5 × T

Supports a between-group comparison across 10 samples.

How we read this: 2 replicated groups read from 10 sample titles; they account for 10 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study
Datasets on a similar topic

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